Statistical Tests of Significance

This website can be used to use statistical tests of significance.

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Parametric tests (normally distributed data)
Tests for normality
Descriptive statistics
Number of levels / categories in independent variable Test of Significance
1 One Sample t test
(sample size < 30 / Population SD is not known ) 		One Sample Z test
(sample size > = 30 OR population SD is known )
2 (unrelated) Unpaired t test (Student's t)
(sample size < 30 ) 		Z test (Standard error of difference between two means)
(sample size > = 30 AND population SD is known )
2 (related or paired) Paired t test
(sample size < 30 ) 		Paired Z test
(sample size > = 30 AND population SD is known )
>= 3 (unrelated) One way ANOVA
(One independent variable or factor) 		Two way ANOVA
(Two independent variables or factors)
>= 3 (related) Repeated measures ANOVA
(e.g. Test scores: immediately after a course, 7 days after the course AND 1 month after course)
Both variables continuous Correlation and regression
Regression Multiple Linear Regression
Regression Binary Logistic Regression
Non Parametric tests
Chi Square test of Goodness of fit
Chi Square test of independence
Chi Square test for trends
McNemar Chi Square test (Matched Pair design)
Mantel Haenszel test (stratified analysis 2 x 2 x k)
Single proportion Z test
Two independent sample proportions Z Test
@Sachin Mumbare